Intelligent management system of automobile charging pile

Abstract

The invention discloses an intelligent management system for an automobile charging pile, and the system comprises a charging pile controller which is connected with a sensing and recognition module, an intelligent scheduling module, a remote monitoring and maintenance module, a data collection and analysis module, and a safety protection module. Comprehensive intelligent management of the wireless charging pile is realized, information such as power grid load, charging pile state and user demand can be monitored in real time, charging tasks are intelligently scheduled according to the information, electric energy use is optimized, and charging efficiency is improved; the charging state of the battery can be monitored in real time, the safety of the charging process is ensured, data support is provided for optimizing the charging plan and improving the charging efficiency by collecting and analyzing charging data and equipment state data, the operation efficiency and safety of the wireless charging pile are improved, more convenient and personalized charging services are provided for users, and the user experience is improved. And the intelligent and efficient development of the wireless charging pile technology is promoted.

Description

Technical Field

[0001] The present application relates to the technical field of charging piles, and in particular to an intelligent management system for automobile charging piles. Background Art

[0002] A car charging pile is a device that provides electrical energy to electric vehicles, enabling them to store enough electricity to support their operation. Depending on the charging method, it can be divided into AC charging piles and DC charging piles. AC charging piles are usually used in homes or small charging stations, while DC charging piles are suitable for fast charging needs and are usually installed in public places. In addition, charging piles can be further divided into smart charging piles and ordinary charging piles according to their functions. Smart charging piles have more functions, such as intelligent monitoring, cloud platform connection, protection functions and remote upgrades.

[0003] The prior art discloses an intelligent management system for automobile charging piles, including a centralized controller, a Zigbee communication network, a GPRS communication network, a monitoring terminal, an on-board terminal and a plurality of charging piles; the charging piles are provided with a microprocessor and a safety detection module, a voltage stabilizing module, a protection module and a positioning module connected to the microprocessor; the centralized controller receives information sent by the charging piles, and sends it to the monitoring terminal via the GPRS communication network, and sends the locations of unused charging piles to the on-board terminal.

[0004] Although the above-mentioned prior art has made progress on traditional charging piles, it still has the following defects in charging management:

[0005] 1. Lack of intelligent dispatching and management, unable to perform intelligent dispatching based on information such as grid load, charging pile status, and user demand, resulting in inefficient use of electricity, and even excessive pressure on the grid during peak hours;

[0006] 2. There are also deficiencies in user management, data collection and analysis. It is impossible to provide users with personalized charging services, nor is it possible to provide managers with comprehensive charging pile operation status and data analysis reports, which limits the intelligent and efficient development of wireless charging piles. Summary of the invention

[0007] To this end, the present application provides an intelligent management system for automobile charging piles to solve the problem of lack of intelligent scheduling and management in the prior art, inability to perform intelligent scheduling based on information such as grid load, charging pile status and user needs, resulting in inefficient use of electricity and even excessive pressure on the grid during peak hours.

[0008] In order to achieve the above objectives, this application provides the following technical solutions:

[0009] An intelligent management system for a car charging pile includes a charging pile controller, wherein the charging pile controller is connected to

[0010] The perception and recognition module is responsible for identifying the type of connected electric vehicles, battery status, and user identity information;

[0011] Intelligent dispatching module, which intelligently dispatches charging tasks and optimizes the use of electricity according to grid load, charging pile status and user needs;

[0012] Remote monitoring and maintenance module, responsible for remote monitoring, fault warning and fault diagnosis of charging piles;

[0013] The data collection and analysis module is responsible for collecting charging data and equipment status data, and performing statistics and analysis on the data to provide data support for optimizing charging plans and improving charging efficiency;

[0014] The safety protection module is responsible for monitoring the battery charging status and ensuring the safety of the charging process.

[0015] Optionally, the perception and recognition module includes

[0016] Vehicle identification unit: responsible for identifying the brand and model information of the connected electric vehicle;

[0017] Battery status monitoring unit: responsible for monitoring the power, temperature, health status, etc. of electric vehicle batteries, providing data support for smart charging;

[0018] User Identity Unit: Use biometric technology (such as fingerprint, facial recognition) or RFID tags to achieve contactless and rapid verification of user identity, improving the charging experience while ensuring safety.

[0019] Optionally, the intelligent scheduling module includes

[0020] Grid load monitoring unit: responsible for collecting and analyzing the real-time parameters of the grid (current, voltage, power, etc.), and calculating the real-time load of the grid to obtain the load change trend and peak period of the grid;

[0021] Charging pile status monitoring unit: responsible for real-time monitoring of the working status and charging power of the charging pile to determine whether the charging pile is in normal working condition;

[0022] Intelligent scheduling algorithm unit: Based on big data analysis and artificial intelligence algorithms, and according to the grid load, charging pile status and user needs, it intelligently schedules charging tasks to achieve optimal distribution of electric energy.

[0023] Optionally, the remote monitoring and maintenance module includes

[0024] Remote monitoring unit: The remote monitoring unit is connected to the cloud server to obtain the working status of the charging pile (including current, voltage, temperature, etc.) in real time, and upload the real-time working status of the charging pile and charging data (charging times, charging time, charging amount, etc.) to the cloud server to form a real-time working status database of the charging pile;

[0025] Fault warning unit: The fault warning unit is connected to the cloud server and obtains the real-time working status data and charging data of the charging pile from the cloud server. It uses big data analysis and artificial intelligence algorithms to deeply mine and analyze these data. By analyzing the abnormal changes, trends and correlations of the data, it identifies the potential fault hazards of the charging pile and issues warnings.

[0026] Fault diagnosis and repair unit: The fault diagnosis and repair unit is connected to the fault warning unit. According to the fault warning information, it automatically identifies and analyzes abnormal data to locate the fault point, provides repair suggestions or automatically triggers the remote repair program.

[0027] Optionally, the data collection and analysis module includes

[0028] Data acquisition unit: real-time collection of charging data (charging current, charging voltage, charging power, charging time, charging amount, etc.) of the charging pile and equipment status data (temperature, humidity, working status of the charging pile);

[0029] Data storage unit: stores the collected data information in a cloud server or a local database;

[0030] Data analysis unit: Use big data analysis and artificial intelligence algorithms to count and analyze the collected data to obtain charging behavior patterns and optimize charging plans.

[0031] Optionally, the security protection module includes

[0032] Overcharge protection unit: responsible for real-time monitoring of the battery power level, and calculating the estimated full charge time of the battery based on the real-time battery power level and charging rate. When the real-time battery power level reaches the preset full charge threshold, the protection mechanism is triggered to automatically stop the charging process;

[0033] Overcurrent protection unit: responsible for real-time monitoring of charging current. When the real-time charging current exceeds the safety threshold, the protection mechanism is triggered to automatically cut off the charging power supply.

[0034] Short-circuit protection unit: responsible for real-time monitoring of voltage and current changes in the charging circuit. If it is detected that the real-time voltage suddenly drops and the real-time current increases sharply, it is judged that a short circuit occurs in the circuit, triggering the protection mechanism and automatically cutting off the charging power supply.

[0035] Optionally, the system also includes a user management module, which is connected to the charging pile controller and is responsible for managing the user's personal information, charging records, payment records, and setting different priority permissions according to user types (such as ordinary users, VIP users).

[0036] Optionally, the system also includes a payment and settlement module, which is connected to the charging pile controller and is responsible for connecting with a third-party payment platform (such as Alipay, WeChat Pay), and calculating the charging fee based on factors such as charging amount, charging time, and preferential policies to generate a settlement bill, thereby realizing online payment of charging fees.

[0037] Compared with the prior art, this application has at least the following beneficial effects:

[0038] (i) By introducing the perception and recognition module, intelligent scheduling module, remote monitoring and maintenance module, data collection and analysis module and safety protection module, comprehensive intelligent management of wireless charging piles is realized, which can monitor the grid load, charging pile status and user demand in real time, and intelligently schedule charging tasks based on this information, optimize power use and improve charging efficiency;

[0039] (ii) The system also has comprehensive safety protection measures, which can monitor the battery charging status in real time to ensure the safety of the charging process. By collecting and analyzing charging data and equipment status data, it provides data support for optimizing charging plans and improving charging efficiency. It not only improves the operating efficiency and safety of wireless charging piles, but also provides users with more convenient and personalized charging services, promoting the intelligent and efficient development of wireless charging pile technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more intuitively illustrate the prior art and the present application, exemplary drawings are given below. It should be understood that the specific shapes and structures shown in the drawings should not generally be regarded as limiting conditions for implementing the present application; for example, those skilled in the art are capable of easily making conventional adjustments or further optimizations to the addition / reduction / attribution division, specific shapes, positional relationships, connection methods, dimensional ratios, etc. of certain units (components) based on the technical concepts and exemplary drawings disclosed in the present application.

[0041] Figure 1 This is a structural block diagram of the intelligent management system for car charging piles provided in this application; DETAILED DESCRIPTION

[0042] The present application is further described below in detail through specific embodiments in conjunction with the accompanying drawings.

[0043] like Figure 1As shown, an intelligent management system for a car charging pile includes a charging pile controller, wherein the charging pile controller is connected to a perception and recognition module, an intelligent scheduling module, a remote monitoring and maintenance module, a data collection and analysis module, and a safety protection module;

[0044] Identify the type of connected electric vehicle, battery status and user identity information through the sensing and recognition module;

[0045] The intelligent dispatching module intelligently dispatches charging tasks and optimizes the use of electricity according to the grid load, charging pile status and user needs;

[0046] Remote monitoring, fault warning and fault diagnosis of charging piles through remote monitoring and maintenance module;

[0047] The data collection and analysis module collects charging data and equipment status data, and performs statistics and analysis on the data to provide data support for optimizing charging plans and improving charging efficiency;

[0048] The battery charging status is monitored through the safety protection module to ensure the safety of the charging process.

[0049] In this embodiment, the perception and recognition module includes

[0050] Vehicle identification unit: responsible for identifying the brand and model information of the connected electric vehicle;

[0051] When an electric vehicle is connected to a charging station, the vehicle identification unit uses sensors installed on or near the charging station, such as RFID readers, cameras or infrared sensors, to capture relevant information about the vehicle. These sensors can read the RFID tag on the vehicle, identify the vehicle's appearance features or scan the license plate, thereby obtaining basic information about the vehicle's brand and model;

[0052] Subsequently, this information is transmitted to the central processing unit (CPU) of the charging pile controller for further processing and analysis. The CPU compares and matches the received information according to the preset algorithm and database to confirm the model and brand of the vehicle. Once the vehicle is successfully identified, the charging pile controller automatically adjusts the charging parameters of the charging pile, such as charging power, charging time, etc., according to the characteristics of the vehicle model and charging requirements to ensure the efficiency and safety of the charging process.

[0053] Battery status monitoring unit: responsible for monitoring key parameters of electric vehicle batteries, such as power, temperature, and health status. It realizes monitoring functions by connecting to the battery management system (BMS) of the electric vehicle or sensors on the battery pack to provide data support for smart charging.

[0054] During the charging process, the battery status monitoring unit reads the various parameters of the battery in real time and transmits these data to the central processor of the charging pile controller for analysis. The central processor intelligently adjusts the charging strategy according to the real-time status of the battery to avoid problems such as overcharging, over-discharging or overheating of the battery.

[0055] For example, when the battery is close to full charge, the system automatically reduces the charging power to prevent overcharging of the battery. When the battery temperature is too high, the system suspends charging until the battery temperature drops to a safe range before continuing charging.

[0056] In addition, the battery status monitoring unit also conducts long-term tracking and evaluation of the battery's health status. By analyzing the battery's charging and discharging data, the system can predict the battery's life and performance changes, and provide car owners with timely battery maintenance recommendations.

[0057] User identification unit: specifically includes one or more identity authentication devices, such as fingerprint readers, facial recognition cameras, RFID readers, etc., using biometric technology (such as fingerprint, facial recognition) or RFID tags to achieve contactless and rapid verification of user identity, improving the charging experience while ensuring safety;

[0058] When users need to charge, they can enter their identity information through the authentication device. For example, the user places a finger on the fingerprint reader or faces the face to the facial recognition camera for identity authentication. The system compares and matches the information entered by the user with the preset database to confirm the user's identity. Once the user's identity is successfully verified, the system authorizes the user to perform the charging operation. At the same time, the system also records the user's charging behavior and related information for subsequent data analysis and optimization of services. This authentication method not only improves the safety of the charging process, but also provides users with a more convenient and personalized charging experience.

[0059] In summary, the three units of the perception and recognition module realize comprehensive identification and monitoring of electric vehicles, batteries and user identities through advanced Internet of Things technology, sensor technology and identity authentication technology, providing a solid foundation and strong support for the intelligent scheduling, remote monitoring and maintenance, and data collection and analysis of the wireless charging pile intelligent management system.

[0060] In this embodiment, the intelligent scheduling module includes

[0061] Grid load monitoring unit: responsible for collecting and analyzing the real-time parameters of the grid (current, voltage, power, etc.), and calculating the real-time load of the grid to obtain the load change trend and peak period of the grid;

[0062] When it is detected that the grid load has reached or is close to the peak value, the grid load monitoring unit sends a signal to the intelligent scheduling algorithm unit, indicating that the current grid load is heavy and that it is necessary to avoid arranging a large number of charging tasks during this period to prevent excessive pressure on the grid. At the same time, according to the load conditions of the grid, the charging power of the charging pile is dynamically adjusted to minimize the impact on the grid while ensuring the charging needs.

[0063] Charging pile status monitoring unit: responsible for real-time monitoring of the working status and charging power of the charging pile to determine whether the charging pile is in normal working condition;

[0064] When a charging pile fails or is abnormal, the charging pile status monitoring unit immediately sends an alarm to the charging pile controller and automatically records the fault information, which is transmitted to the central processor of the charging pile controller for further analysis and processing. At the same time, the charging pile status monitoring unit intelligently adjusts the charging strategy according to the real-time status of the charging pile to ensure the safety and efficiency of the charging process;

[0065] For example, when the charging power of the charging pile is too high or the temperature is abnormal, the charging pile status monitoring unit automatically reduces the charging power or suspends charging to prevent equipment damage or safety accidents. When the charging pile returns to normal, it intelligently resumes the charging task based on information such as grid load and user needs.

[0066] Intelligent dispatching algorithm unit: Based on big data analysis and artificial intelligence algorithms, it intelligently dispatches charging tasks according to grid load, charging pile status and user needs to achieve optimal distribution of electric energy;

[0067] The intelligent scheduling algorithm unit continuously collects and analyzes data from the grid load monitoring unit and the charging pile status monitoring unit, as well as the charging demand information submitted by users, and then processes and analyzes these data using optimization algorithms and machine learning models to generate the optimal charging plan;

[0068] When generating a charging plan, the intelligent scheduling algorithm unit considers multiple factors, such as the real-time changes in grid load, the availability and charging power of charging piles, and the user's charging needs and priorities. Based on these factors, the charging tasks are intelligently assigned to each charging pile to ensure that the impact on the grid is minimized while meeting user needs and improving the efficiency of electric energy utilization.

[0069] In addition, the intelligent scheduling algorithm unit can continuously optimize and improve the charging plan based on historical data and real-time data, learn users' charging habits and preferences, and the changing patterns of grid load and charging pile status, thereby generating a more accurate and efficient charging plan.

[0070] In summary, the three units of the intelligent scheduling module monitor and analyze information such as grid load, charging pile status and user needs in real time, intelligently schedule charging tasks, and achieve optimal distribution and efficient utilization of electric energy. These functions provide strong support for the stable operation and efficient service of the wireless charging pile intelligent management system.

[0071] In this embodiment, the remote monitoring and maintenance module includes

[0072] Remote monitoring unit: The remote monitoring unit is connected to the cloud server to obtain the working status of the charging pile in real time, and upload the real-time working status of the charging pile and charging data to the cloud server to form a real-time working status database of the charging pile;

[0073] The unit collects key parameters of the charging pile, such as current, voltage, power, temperature, and charging data such as the number of charging times, charging duration, and charging amount, in real time through sensors and communication modules installed on the charging pile. After receiving these data, the cloud server further processes and analyzes the data to generate a working status report and a charging data analysis report for the charging pile. These reports can be provided to managers for review and decision-making, and can also be used as a basis for fault warning and fault diagnosis.

[0074] Fault warning unit: The fault warning unit is connected to the cloud server and obtains the real-time working status data and charging data of the charging pile from the cloud server. It uses big data analysis and artificial intelligence algorithms to deeply mine and analyze these data. By analyzing the abnormal changes, trends and correlations of the data, it identifies the potential fault hazards of the charging pile and issues warnings.

[0075] Once a potential fault is identified, the fault warning unit immediately sends warning information to the management personnel, including the type of fault, the degree of fault, possible impact, and recommended preventive measures, so that the management personnel can take timely measures to avoid the occurrence of faults and ensure the safe and stable operation of the charging pile.

[0076] Fault diagnosis and repair unit: The fault diagnosis and repair unit is connected to the fault warning unit. According to the fault warning information, it automatically identifies and analyzes abnormal data to locate the fault point, provides repair suggestions or automatically triggers the remote repair program;

[0077] When the fault warning unit issues a warning message, the fault diagnosis and repair unit immediately starts the fault diagnosis program, which uses the preset fault diagnosis model and algorithm to quickly and accurately diagnose the fault of the charging pile. Through diagnosis, the specific location, cause and impact range of the fault can be determined;

[0078] Once the cause of the fault is diagnosed, the fault diagnosis and repair unit attempts to perform remote repairs. For some simple faults, such as software faults or parameter setting errors, they can be repaired by sending repair instructions remotely or updating software. For complex faults, such as hardware faults or faults that require on-site processing, the fault diagnosis and repair unit provides detailed repair suggestions and guidance to help managers perform on-site repairs.

[0079] In addition, the fault diagnosis and repair unit will also feed back the results of fault diagnosis and repair to the cloud server to form a fault diagnosis and repair database. These data can be used for subsequent analysis and optimization to improve the accuracy and efficiency of fault diagnosis and repair.

[0080] In summary, the three units of the remote monitoring and maintenance module realize comprehensive remote monitoring and maintenance of charging piles through advanced technologies such as Internet of Things technology, big data analysis and artificial intelligence algorithms. These functions not only improve the operating efficiency and safety of charging piles, but also reduce operation and maintenance costs, providing strong support for the stable operation and efficient service of the wireless charging pile intelligent management system.

[0081] In this embodiment, the data collection and analysis module includes

[0082] Data collection unit: collects charging data and equipment status data of charging piles in real time;

[0083] The data acquisition unit is the basis of the data collection and analysis module. Through the sensors installed on the charging pile, the charging data such as the charging current, charging voltage, charging power, charging time, charging amount, as well as the equipment status data such as the temperature, humidity, and working status of the charging pile are obtained in real time.

[0084] Data storage unit: The collected data information is stored in a cloud server or a local database through a communication module installed on the charging pile;

[0085] The data storage unit uses efficient data storage technology and algorithms to ensure the storage and reading speed of data. At the same time, it also backs up and redundantly stores data to prevent data loss and damage. During the data storage process, the data storage unit also classifies and marks the data for subsequent data analysis and mining;

[0086] For example, charging data can be classified according to dimensions such as charging pile number and charging time period, and device status data can be labeled according to dimensions such as device type and fault type. These classified and labeled data facilitate subsequent data analysis.

[0087] Data analysis unit: uses big data analysis and artificial intelligence algorithms to collect statistics and analyze the collected data to obtain charging behavior patterns and optimize charging plans;

[0088] The data analysis unit first pre-processes and cleans the data, removes abnormal and redundant data, and improves the quality and accuracy of the data. Then, it uses statistical analysis and data mining algorithms to conduct in-depth analysis and mining of the data.

[0089] For example, analyzing the distribution patterns and trends of charging data, discovering users’ charging habits and preferences, analyzing abnormal changes in device status data, and predicting device failures and maintenance needs.

[0090] Based on these analysis results, the data analysis unit generates optimization suggestions and improvement measures. For example, it can intelligently adjust the charging plan according to the user's charging needs and the load of the charging pile to improve charging efficiency and energy utilization. It can also arrange maintenance and servicing work in advance according to the equipment failure prediction results to reduce equipment failure rate and repair costs.

[0091] In addition, the data analysis unit will feed back the analysis results and optimization suggestions to management personnel and operation and maintenance personnel to help them better understand the operation status and user needs of charging piles, and provide a basis for subsequent decision-making and optimization.

[0092] In summary, the three units of the data collection and analysis module work together to achieve comprehensive collection, storage and analysis of charging pile data. These functions not only improve the operating efficiency and energy utilization of charging piles, but also provide strong data support for optimizing charging plans and improving user experience.

[0093] In this embodiment, the security protection module includes

[0094] Overcharge protection unit: responsible for real-time monitoring of the battery's power level. This monitoring process is usually achieved through voltage sensors and current sensors connected to both ends of the battery. These sensors can accurately measure the battery's voltage and charging current, and calculate the expected full charge time of the battery based on the battery's real-time power level and charging rate. When the battery's real-time power level reaches the preset full charge threshold, the protection mechanism is triggered to automatically stop the charging process, thereby ensuring that the battery is not damaged by overcharging;

[0095] In addition, the overcharge protection unit also has a fault self-checking function. After each charging, it checks whether its own sensors and circuits are working properly to ensure that the protection function can be accurately performed during the next charging.

[0096] Overcurrent protection unit: responsible for real-time monitoring of the charging current. This monitoring process is achieved through a current sensor connected to the charging circuit. When the real-time charging current exceeds the safety threshold, the protection mechanism is triggered to automatically cut off the charging power supply to prevent excessive current from damaging the battery and charging pile circuit.

[0097] In addition, the overcurrent protection unit also has fault alarm, fault information recording and self-recovery functions. When a fault occurs, an alarm signal is sent to notify the management personnel to handle the fault in time, and the fault information is recorded at the same time to facilitate subsequent analysis and troubleshooting of the cause of the fault. After the fault is eliminated and safety is confirmed, the management personnel can restore the overcurrent protection unit to normal working state by restarting the charging pile or performing specific recovery operations.

[0098] Short-circuit protection unit: responsible for real-time monitoring of voltage and current changes in the charging circuit. If it is detected that the real-time voltage suddenly drops and the real-time current increases sharply, it is determined that a short circuit occurs in the circuit, triggering the protection mechanism to automatically cut off the charging power supply to prevent the short-circuit current from damaging the battery and charging pile circuit.

[0099] In addition, the short-circuit protection unit also has fault recording and analysis functions. After each protection mechanism is triggered, it records information such as the time, location, and type of the fault, and generates a detailed fault report. These reports are of great significance for subsequent analysis and troubleshooting of fault causes and optimization of safety protection strategies.

[0100] In summary, the three units of the safety protection module - overcharge protection unit, overcurrent protection unit and short-circuit protection unit together constitute a comprehensive monitoring and protection system for the charging process. They ensure the safety and reliability of the charging process by monitoring the battery power, charging current, circuit status and other information in real time, and triggering the protection mechanism when necessary.

[0101] In this embodiment, the system also includes a user management module, which is connected to the charging pile controller and is responsible for managing the user's personal information, charging records, payment records, and setting different priority permissions according to user types (such as ordinary users, VIP users).

[0102] In this embodiment, the system also includes a payment and settlement module, which is connected to the charging pile controller and is responsible for connecting with a third-party payment platform (such as Alipay, WeChat Pay), and calculating the charging fee based on factors such as charging amount, charging time, and preferential policies to generate a settlement bill, thereby realizing online payment of charging fees.

[0103] The technical features of the above embodiments may be arbitrarily combined (as long as there is no contradiction in the combination of these technical features). To make the description concise, not all possible combinations of the technical features in the above embodiments are described; these embodiments that are not explicitly written should also be considered to be within the scope of this specification.

Claims

1. An intelligent management system for a car charging pile, comprising a charging pile controller, characterized in that: The charging pile controller is connected to The perception and recognition module is responsible for identifying the type of connected electric vehicles, battery status, and user identity information; Intelligent dispatching module, which intelligently dispatches charging tasks and optimizes the use of electricity according to grid load, charging pile status and user needs; Remote monitoring and maintenance module, responsible for remote monitoring, fault warning and fault diagnosis of charging piles; Data collection and analysis module, responsible for collecting charging data and equipment status data, and performing statistics and analysis on the data; The safety protection module is responsible for monitoring the battery charging status to ensure safe charging.

2. The intelligent management system for automobile charging piles according to claim 1 is characterized in that: The perception and recognition module includes Vehicle identification unit: responsible for identifying the brand and model information of the connected electric vehicle; Battery status monitoring unit: responsible for monitoring the power, temperature and health status of electric vehicle batteries; User identity recognition unit: Use biometric technology or RFID tag recognition technology to achieve contactless and rapid verification of user identity.

3. The intelligent management system for automobile charging piles according to claim 1 is characterized in that: The intelligent scheduling module includes Grid load monitoring unit: responsible for collecting and analyzing real-time parameters of the grid and calculating the real-time load of the grid to obtain the load change trend and peak period of the grid; Charging pile status monitoring unit: responsible for real-time monitoring of the working status and charging power of the charging pile to determine whether the charging pile is in normal working condition; Intelligent scheduling algorithm unit: Based on big data analysis and artificial intelligence algorithms, and according to the grid load, charging pile status and user needs, it intelligently schedules charging tasks to achieve optimal distribution of electric energy.

4. The intelligent management system for automobile charging piles according to claim 1 is characterized in that: The remote monitoring and maintenance module includes Remote monitoring unit: The remote monitoring unit is connected to the cloud server to obtain the working status of the charging pile in real time, and upload the real-time working status of the charging pile and charging data to the cloud server to form a real-time working status database of the charging pile; Fault warning unit: The fault warning unit is connected to the cloud server and obtains the real-time working status data and charging data of the charging pile from the cloud server. It uses big data analysis and artificial intelligence algorithms to deeply mine and analyze these data. By analyzing the abnormal changes, trends and correlations of the data, it identifies the potential fault hazards of the charging pile and issues warnings. Fault diagnosis and repair unit: The fault diagnosis and repair unit is connected to the fault warning unit. According to the fault warning information, it automatically identifies and analyzes abnormal data to locate the fault point, provides repair suggestions or automatically triggers the remote repair program.

5. The intelligent management system for automobile charging piles according to claim 1 is characterized in that: The data collection and analysis module includes Data collection unit: collects charging data and equipment status data of charging piles in real time; Data storage unit: stores the collected data information in a cloud server or a local database; Data analysis unit: Use big data analysis and artificial intelligence algorithms to count and analyze the collected data to obtain charging behavior patterns and optimize charging plans.

6. The intelligent management system for automobile charging piles according to claim 1, characterized in that: The safety protection module comprises Overcharge protection unit: responsible for real-time monitoring of the battery power level, and calculating the estimated full charge time of the battery based on the real-time battery power level and charging rate. When the real-time battery power level reaches the preset full charge threshold, the protection mechanism is triggered to automatically stop the charging process; Overcurrent protection unit: responsible for real-time monitoring of charging current. When the real-time charging current exceeds the safety threshold, the protection mechanism is triggered to automatically cut off the charging power supply. Short-circuit protection unit: responsible for real-time monitoring of voltage and current changes in the charging circuit. If it is detected that the real-time voltage suddenly drops and the real-time current increases sharply, it is judged that a short circuit occurs in the circuit, triggering the protection mechanism and automatically cutting off the charging power supply.

7. An intelligent management system for automobile charging piles according to any one of claims 1 to 6, characterized in that: It also includes a user management module, which is connected to the charging pile controller and is responsible for managing the user's personal information, charging records, payment records, and setting different priority permissions according to user types.

8. An intelligent management system for automobile charging piles according to any one of claims 1 to 6, characterized in that: It also includes a payment and settlement module, which is connected to the charging pile controller and is responsible for connecting with a third-party payment platform to calculate the charging fee to generate a settlement bill.

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